HIGHLIGHTS
- who: Chengzhi Yang from the Laboratory of Intelligent Information Processing, Suzhou University, Suzhou, Anhui, China have published the paper: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks, in the Journal: Computational Intelligence and Neuroscience of 27/07/2022
- what: By verifying the effectiveness of the above model on a publicly available dataset and comparing it with the more popular semantic segmentation methods the model proposed in this paper has higher semantic segmentation accuracy and reflects certain advantages in objective evaluation.
- how: To improve the speed of semantic segmentation while obtaining . . .
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